Memristors for Analog AI Chips

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2024-02-04に共有

コメント (21)
  • @dmtree
    Hey jon , me and my father (an electrical engineer and i am in IT) watch your videos all the time. He loves your content and reminisces on his long history in EE. If you're ever in Toronto let us know
  • @YY-lv1fg
    The synthesizers we make with these are gonna sound crazy.
  • @rayoflight62
    One memristor replace a digital macro component made of: 1) An A/D converter 2) An 8 or 12 bit Flash memory 3) A D/A converter. The applications of memristor arrays as computing memory really depends on the voltage retention qualities of the device. Thanks for the video, Anthony
  • @flygonbreloom
    I really appreciate this. I'd always hear about Memristors online, but not quite get what they actually were. This helps a tonne, and I am thankful for it. The concept of analog technology in a surprising field does remind me of something - have you ever been interested in what the life and death of the Scanimate machines were? Those analog CGI machines that produced a lot of CGI graphics for TV and film from the late 60s to the mid-80s. People seem to completely forget they existed when it comes to discussing CGI, and I'd argue they ended up being an essential and important stepping stone for the eventual incredible success of digital CGI. The way the machines work is both incredibly familiar to how digital CGI worked, but also completely alien. But it's fine if this sort of thing doesn't interest you. I'm really happy I got to watch this video, it taught me a lot in something I was curious of, but was too afraid to ask. Keep it up, these videos are a highlight for my day, and do genuinely cheer me up.
  • @jayglookr
    You had me at " these 'bad-boys' ". My chem profs back at university pointed that out - everything was a 'bad-boy' to me. Glassware, reactants, terms in equations. Bad-boys all. It was used so frequently that a few of them started using it too even. Anyways, sick vid, sick channel. Liked, subd.
  • @Kasy21
    A memristor array looks oddly similar to the Apollo 11 memory modules
  • During my undergrad my research orientator said that this would be very useful in the future. That was 2018. Here we are five years later and slowly but surely progress is being made. I doubt it will ever reach peak commercial application, mainly due to manufactoring constraints, but sure is a cool niche piece of tech.
  • @chengong388
    Current computation based neural networks are just stupidly inefficient, to determine whether an artificial neuron should turn on you have to read a bunch of values from memory, which is not in the same chip so you gotta go through a bunch of memory management crap, wasting a lot of power and time, then you gotta do the math which is basically unnecessary because neurons don't need precise numbers anyway. Then you take your result, put it back out into memory, so it could then be used by another round of simulation of another neuron down the line. Where as for a real neuron, this whole process is basically just baked into the wire, you send information into the wire, it automatically gets transformed and transferred over to the next neuron, there's no unnecessary nonsense like math or memory. A big reason why current deep learning based AI is so stupidly inefficient, but if we could somehow have hardware that does the same thing as neurons, without using math or external memory, it would instantly be orders of magnitudes more efficient.
  • @DSAK55
    Memristors is like Sasquatch, many sightings over the decades but none have ever been captured.
  • Intel made an analog NN chip in 1990 based on flash memory cells (aka isolated gate FET). It wasn't a commercial success but I believe it's likely the best approach. Flash cells can be made in any normal CMOS process with very few extra steps. Analog NN really are many orders of magnitude more efficient because you're not shuffling data through your limited number of compute units. Digital NN will also benefit from having compute local to every memory row, but the chip real estate would get enormous.
  • Thank you for show the Doctor Chua's papers on video; I could find it by the name and now I will use it on my work!
  • I wonder how you learned all that. You make it sound so simple. But if I go out searching for all this I might just end up scratching my head. Amazing videos and amazing work.❤
  • @kuhascoat3417
    OMG I HAVE BEEN WAITING FOR A VIDEO ABOUT EXACTLY THIS!!!! Ever since Sixty Symbols made their video on memristors 😊
  • @H0mework
    Your voice sounds much clearer than usual not sure why. Great content as always I have all your notifications on.
  • @maneeshs3876
    Nice video 🙂, I had this in my mind for research in the final year of my college before HP's patent and research paper came out. Application looked like first principles approach during my college education.
  • @yurcchello
    maybe memristors could be used in super speed camera sensors or fusion of neural network and sensor
  • Thanks for the work, as one of the enlightened I appreciate the effort. Will watch as many times as it takes to soak in in. Feel better, Teacher.
  • You're great !!! Good communication and well formed explanations. Thank you for all your work and content!!
  • @SimEon-jt3sr
    This is cool for me because I used to be in a group BEAM memristor group where guys were working on making them at home! Recently I've learned more about electronics and now there's all this legit research on the topic and it's great stuff.